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Founding AI Engineer

Middleware· Engineering
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San Francisco, Remote$200k - $400k + equityfull-timePosted 11mo ago

About the role

Seeking an experienced AI/ML founding engineer to build AI solutions on an observability platform for automatic issue detection and resolution.

Responsibilities

  • Build AI-Powered Remediation Systems: Design and implement machine learning models to identify, diagnose, and resolve system issues.
  • Own the AI/ML Pipeline: Manage data collection, preprocessing, model training, evaluation, and deployment.
  • Integrate with Observability Stack: Collaborate with platform team to embed AI into logs, metrics, traces.
  • Experiment and Iterate: Prototype and test different models like anomaly detection, root cause analysis, LLM insights.
  • Collaborate Cross-Functionally: Work with product, backend, and DevOps teams to align AI capabilities.
  • Set the Technical Direction: Contribute to architecture decisions and AI/ML best practices.
  • Ensure Reliability and Scalability: Build systems that perform reliably at scale in production.
  • Stay Ahead of the Curve: Keep up with latest AI/ML and observability advancements.

Qualifications

  • Engineers with experience building AI products.
  • Solid software engineering skills in Python and TypeScript.
  • Understanding of observability tools like Prometheus, OpenTelemetry.
  • Owner mindset: comfortable in fast-paced, ambiguous environments with high ownership.

Skills

Required:PythonTypeScript
Last updated Mar 17, 2026. Interested? Apply on the company site.
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About Middleware

AI-based full stack observability platform

Middleware is a full-stack cloud observability platform. We allow the dev and ops teams to debug the issue faster by bringing all the metrics, logs, traces, and events to a single unified timeline and train data to AI so it can give better insight into infrastructure and application. - Single command installation to collect all the metrics, logs, traces, and events. - AI-based anomaly and error detection - GPT 4-based error resolution - Support Infrastructure monitoring, Logs, APM, Kubernetes Monitoring, Synthetic Monitoring, RUM, Custom dashboard, and Alerts. - Full-stack observability, observe any stack at any scale. We are at Middleware and wanted to make cloud observability faster, cheaper, and better.

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